Data fuels today’s world, and I’m passionate about transforming it into strategic insights that drive impactful decisions.With nearly a decade of experience as a Data Analyst and Data Scientist, I’ve had the opportunity to work across diverse industries, from Healthcare to FMCG, where I developed a talent for translating complex datasets into actionable business strategies. Recently, I completed a PGP in Data Science and Business Analytics from the Texas McCombs School of Business, and I’m currently advancing my expertise with a Master’s in Data Science from Deakin University, Australia. My academic journey now includes active research in Time Series Forecasting and Deep Learning, with a focus on building predictive models that anticipate trends and support strategic decision-making.At Mondelez, I led data analysis initiatives across the Middle East and North Africa, driving a 6% increase in market share by uncovering sales patterns and identifying competitive insights in key retail chains like Carrefour, Lulu, and Panda. This experience honed my ability to generate data-backed recommendations that directly contribute to growth and market positioning.I bring a robust technical toolkit, including Python, SQL, Tableau, Excel, and business analytics techniques. Proficient in Data Visualization, Machine Learning, and Predictive Analytics, I specialize in creating narratives that resonate with stakeholders, empowering them to make informed decisions. I also enjoy diving deep into advanced statistical analysis and regression techniques to uncover patterns and fine-tune forecast accuracy.With a commitment to continuous learning, I’m always exploring the latest innovations in data science, ready to tackle complex challenges. If you’re interested in leveraging data to unlock new insights, refine strategies, or gain a competitive edge, let’s connect—I’m open to collaborating on projects that drive measurable impact in our data-driven world.